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This collection contains MR images of both low and high grade glial brain lesions. Data includes post-contrast T1w images with co-registered volumes of dynamic susceptibility contrast (DSC) MR images in DICOM format. Binary regions of interest are also included, in DICOM format, of the lesion, arterial input function, normal appearing white matter, normal appearing cerebral cortex, and whole brain. The data was provided to help facilitate research activities of the National Cancer Institute's (NCI's) Quantitative Imaging Network (QIN). This collection was supported by Grant U01 CA176110.

About the NCI QIN

The mission of the QIN is to improve the role of quantitative imaging for clinical decision making in oncology by developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. More information is available on the Quantitative Imaging Network Collections page. Interested investigators can apply to the QIN at: Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) PAR-11-150.


We would like to acknowledge the individuals and institutions that have provided data for this collection: Medical College of Wisconsin, Milwaukee, Wisconsin. Special thanks to Kathleen Schmainda, Ph.D. and Melissa Prah, Department of Radiology, Division of Imaging Science.

Localtab Group

titleData Access

Data Access

This is a limited access data set. To request access, please contact Once access is granted, click the Choose the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.

Data TypeDownload all or Query/Filter
Images (DICOM, 30.8 GB)

Click the Versions tab for more info about data releases.

titleDetailed Description

Detailed Description

Collection Statistics

(updated 20150825)Radiology



Number of Patients


Number of Studies


Number of Series


Number of Images


Images Size (GB)30.8

titleCitations & Data Usage Policy

Citations & Data Usage Policy 

This is a limited access data set. Upon receiving access you may only use it for the purposes outlined in your request to the data provider. You are not allowed to redistribute the data or use it for other purposes. See collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to

Please be sure to include the following citations in your work if you use the this data set:

titleData Citation

Kathleen M Schmainda, Melissa A Prah, Jennifer M Connelly, Scott D Rand. (2016). Glioma DSC-MRI Perfusion Data with Standard Imaging and ROIs [ Dataset ] . The Cancer Imaging Archive. 10.7937/K9/TCIA.2016.5DI84Js8

titleTCIA Citation

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F.  (2013) The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7

Other Publications Using This Data

TCIA maintains a list of publications that leverage our data. If you have a publication you'd like to add, please contact the TCIA Helpdesk.




3 (Current): Updated


(added 6 new series, 1 source DSC for each of the 6 MRI platforms)


Data TypeDownload all or Query/Filter
Images (DICOM, 30.8 GB)

Image AddedImage Added

Downloads require the NBIA Data Retriever.

Lifted "Limited Access" embargo.

Version 2: Updated 2016/03/29

Data TypeDownload all or Query/Filter
Images (DICOM, 30.8 GB)

Image Removed  

Downloads require the NBIA Data Retriever.

Added 6 new series, 1 source DSC for each of the 6 MRI platforms.

Version 1: Updated



Data TypeDownload all or Query/Filter
Images (DICOM, 30.5 GB)